ECON 6113: Cross Section and Time Series Econometrics
University of North Carolina, Charlotte
Introduces the advanced study of the theory and application of statistics to economic problems. �Topics include:� derivation of the least-squares estimator; methods with which to detect and correct for potential problems with the classical regression model; maximum likelihood estimation; instrumental variables regression; the problems with multicollinearity, heteroscedasticity, and autocorrelation; introduction to the time-series estimation, including ARIMA models and basic forecasting tools. �
Average GPA: 3.53
Grade distribution records: 244 students across 20 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 123 | 50.4% |
| B | 93 | 38.1% |
| C | 6 | 2.5% |
| W | 15 | 6.1% |
Based on 244 student grade records across 20 terms and 6 professors.
Instructors
- Thomas Mayock 109 students, Average GPA 3.49
- Yinghao Pan 70 students, Average GPA 3.61
- Craig Depken Ii 30 students, Average GPA 3.67
- Weihua Zhou 18 students, Average GPA 3.35
- Yang Li 9 students, Average GPA 2.83
- Igor Kheifets 8 students, Average GPA 3.71